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What is Arm Forge?

Developing reliable and optimized code that delivers precise outcomes across a range of server and high-performance computing (HPC) architectures is essential, especially when leveraging the latest compilers and C++ standards for Intel, 64-bit Arm, AMD, OpenPOWER, and Nvidia GPU hardware. Arm Forge brings together Arm DDT, regarded as the top debugging tool that significantly improves the efficiency of debugging high-performance applications, alongside Arm MAP, a trusted performance profiler that delivers vital optimization insights for both native and Python HPC applications, complemented by Arm Performance Reports for superior reporting capabilities. Moreover, both Arm DDT and Arm MAP can function effectively as standalone tools, offering flexibility to developers. With dedicated technical support from Arm experts, the process of application development for Linux Server and HPC is streamlined and productive. Arm DDT stands out as the preferred debugger for C++, C, or Fortran applications that utilize parallel and threaded execution on either CPUs or GPUs. Its powerful graphical interface simplifies the detection of memory-related problems and divergent behaviors, regardless of the scale, reinforcing Arm DDT's esteemed position among researchers, industry professionals, and educational institutions alike. This robust toolkit not only enhances productivity but also plays a significant role in fostering technical innovation across various fields, ultimately driving progress in computational capabilities. Thus, the integration of these tools represents a critical advancement in the pursuit of high-performance application development.

What is Amazon SageMaker Debugger?

Improve machine learning models by capturing real-time training metrics and initiating alerts for any detected anomalies. To reduce both training time and expenses, the training process can automatically stop once the desired accuracy is achieved. Additionally, it is crucial to continuously evaluate and oversee system resource utilization, generating alerts when any limitations are detected to enhance resource efficiency. With the use of Amazon SageMaker Debugger, the troubleshooting process during training can be significantly accelerated, turning what usually takes days into just a few minutes by automatically pinpointing and notifying users about prevalent training challenges, such as extreme gradient values. Alerts can be conveniently accessed through Amazon SageMaker Studio or configured via Amazon CloudWatch. Furthermore, the SageMaker Debugger SDK is specifically crafted to autonomously recognize new types of model-specific errors, encompassing issues related to data sampling, hyperparameter configurations, and values that surpass acceptable thresholds, thereby further strengthening the reliability of your machine learning models. This proactive methodology not only conserves time but also guarantees that your models consistently operate at peak performance levels, ultimately leading to better outcomes and improved overall efficiency.

Media

Media

Integrations Supported

Arm MAP
C
C++
Fortran
NVIDIA DRIVE
Python

Integrations Supported

AWS Lambda
Amazon CloudWatch
Amazon SageMaker
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Change Healthcare Data & Analytics
Keras
MXNet
PyTorch
TensorFlow

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Arm

Company Location

United Kingdom

Company Website

www.arm.com/products/development-tools/server-and-hpc/forge

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/debugger/

Categories and Features

Debugging

Not specified

HPC

Not specified

Categories and Features

AI Infrastructure

Not specified

Debugging

Not specified

Machine Learning

Not specified

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